Help Center> Graph Engine Service> Service Overview> Applicable Scenarios
Updated on 2022-09-14 GMT+08:00
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Applicable Scenarios

GES is perfect but not limited to scenarios such as Internet, knowledge graph, financial risk control, urban industry, and enterprise IT applications.

Internet

GES quickly and effectively mines valuable information from large and complex social networks in the mobile Internet era.

In this scenario, GES will help you implement the following functions:

  • Friend, Product, and Information Recommendation

    GES provides personalized and precise recommendations based on friend relationships, user profiles, behavior similarities, product similarities, and propagation paths.

  • User Grouping

    GES groups users based on their profiles, behavior similarities, or relationships to facilitate precise user group management.

  • Abnormal Behavior Analysis

    User behavior, partner relationships, and account/IP login information can all be analyzed to identify abnormal behaviors and reduce fraud.

  • Public Opinion and Social Listening

    GES identifies opinion leaders and hot topics by analyzing propagation paths and relationships, enhancing the quality of public opinion analysis.

Knowledge Graph

GES-based knowledge graphs integrate various kinds of heterogeneous data, enabling larger graph scales and higher performance.

In this scenario, GES will help you implement the following functions:

  • Massive Storage

    Heterogeneous data points can be integrated and stored as hundreds of billions of vertices and edges in graphs.

  • Quick Correlation Query

    You can perform correlation queries of a massive knowledge base and returns accurate results within seconds.

  • Knowledge Classification

    Similar knowledge points are combined based on graph-based analysis and computing to implement knowledge disambiguation.

  • Learning Path Identification and Recommendation

    Learning paths can be identified and recommended based on learning relationships between data points.

Financial Risk Control

GES can be used to detect fraudulent user behaviors, minimizing potential financial risks.

In this scenario, GES will help you implement the following functions:

  • Real-Time Fraud Detection

    Users who share the same personal information such as email addresses or IP addresses, can be identified and cases of known or potential fraud identified.

  • Group Detection

    Users are grouped and abnormal groups identified based on interpersonal relationship analysis.

  • Missing Persons Discovery

    Missing persons can be discovered based on various relationships.

Urban Industry

You can better manage the pressure on and balance the loads of urban roads or pipelines (such as water, gas, power, and oil pipelines) to control traffic networks and pipelines with more precision.

In this scenario, GES will help you implement the following functions:

  • Pipeline Pressure Adjustment

    The throughput of and pressure on the entire pipeline networks can be analyzed based on real-time monitoring data.

  • Urban Road Network Control

    You can analyze traffic congestion patterns, including traffic, road network, and intersection monitoring data for the entire urban road network, to improve traffic flow throughout the city.

  • Path Design

    You can design public transportation routes throughout the city based on real-time monitoring of people and vehicle requests. This data backed route design increases seat occupancy rates and reduces operating costs.

Enterprise IT

Large scale networks and IT infrastructure can be complicated and hard to manage. Intelligent device monitoring and management give you a clearer understanding of your entire network and IT infrastructure.

In this scenario, GES will help you implement the following functions:

  • Network Planning

    Identifying faulty nodes and recommending backup routers for heavy load makes network planning easier.

  • Fault Cause Analysis

    Root causes of any network or infrastructure fault can be located quicker.

  • IT Infrastructure Management

    Visualized relationships between network devices, including device and resource statuses, make for more efficient O&M.